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Analysis of optimal threshold selection for spectrum sensing in a cognitive radio network: an energy detection approach.

, , , and . Wirel. Networks, 25 (7): 3917-3931 (2019)

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Analysis of high-traffic cognitive radio network with imperfect spectrum monitoring technique., , , , and . Comput. Networks, (2018)Performance analysis of cooperative spectrum monitoring in cognitive radio network., , , , and . Wirel. Networks, 25 (3): 989-997 (2019)Analysis of optimal threshold selection for spectrum sensing in a cognitive radio network: an energy detection approach., , , and . Wirel. Networks, 25 (7): 3917-3931 (2019)HSA-SPC: Hybrid Spectrum Access with Spectrum Prediction and Cooperation for Performance Enhancement of Multiuser Cognitive Radio Network., , , and . Comput. Networks, (2022)Integration of artificial intelligence in robotic vehicles: A bibliometric analysis., and . Paladyn J. Behav. Robotics, 13 (1): 110-120 (2022)Intelligent Reflecting Surfaces in VL-NOMA: A Network Signal Enhancement Perspective., , and . AFRICON, page 1-6. IEEE, (2023)Fixed and dynamic threshold selection criteria in energy detection for cognitive radio communication systems., , , and . IC3, page 1-6. IEEE Computer Society, (2017)Performance analysis of MIMO-based CR-NOMA communication systems., and . IET Commun., 14 (16): 2677-2686 (2020)Spectrum monitoring in heterogeneous cognitive radio network: How to cooperate?, , , , and . IET Commun., 12 (17): 2110-2118 (2018)Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques., , , , and . Wirel. Networks, 24 (6): 2005-2015 (2018)